update labels

app.py

@@ -537,7 +537,7 @@ with gr.Blocks(head=shortcut_js,
                 title='MedDecXtract', css=css) as demo:
     gr.Image('assets/logo.png', height=100, container=False, show_download_button=False)
     gr.Markdown(title)
-    with gr.Tab("Label a Clinical Note"):
+    with gr.Tab("Decision Extraction & Classification"):
         gr.Markdown(label_desc)
         with gr.Row():
             with gr.Column():
@@ -551,7 +551,7 @@ with gr.Blocks(head=shortcut_js,
                 gr.Markdown("## Labeled Summary or Note"),
                 text_out = gr.Highlight(label="", combine_adjacent=True, show_legend=False, color_map=color_map)
         gr.Examples(text_examples, inputs=text_input)
-    with gr.Tab("Patient History Visualization"):
+    with gr.Tab("Patient Visualization"):
         gr.Markdown(vis_desc)
         with gr.Column():
             sum_inputs = [gr.Text(label='Clinical Note 1', elem_classes='text-limit')]
@@ -578,7 +578,7 @@ with gr.Blocks(head=shortcut_js,
             summary_button = gr.Button("Generate Summary")
             with gr.Accordion('Summary'):
                 summary_output = gr.Markdown(elem_id='sum-out') #gr.Textbox(label="Summary")
-    with gr.Tab("Interactive Text Annotator"):
+    with gr.Tab("Interactive Narrative Annotator"):
         gr.Markdown(annotator_desc)
         with gr.Row():
             with gr.Column():

demo_assets.py

@@ -56,7 +56,7 @@ color_map = {cat: colors[i] for i,cat in enumerate(categories)}
 
 
 annotator_desc = """
-## Interactive Text Annotator
+## Interactive Narrative Annotator
 
 This tool allows you to manually annotate medical text for detailed analysis and model training.  Follow these steps:
 
@@ -82,7 +82,7 @@ This tool allows you to manually annotate medical text for detailed analysis and
 """
 
 label_desc = """
-## Label a Clinical Note
+## Decision Extraction & Classification
 
 This tool allows you to quickly identify and categorize key clinical decisions within a single clinical note.
 
@@ -93,7 +93,7 @@ This tool allows you to quickly identify and categorize key clinical decisions w
 This provides a simplified overview of the patient's history and key decisions at a glance.
 """
 vis_desc = """
-## Patient History Visualization
+## Patient Visualization
 
 This tool allows you to visualize the timeline of clinical decisions across multiple clinical notes for a single patient.
 
@@ -114,9 +114,9 @@ title = """
 <h1 style="text-align: center;">Medical Decisions Extraction, Visualization, and Annotation</h1>
 
 <p style="font-size:1.2em;">This application offers three interactive tools for working with clinical text data:</p>
-<p style="font-size:1.2em;">1. <b>Label a Clinical Note:</b> Process individual notes and receive highlighted key clinical decisions.</br>
-2. <b>Patient History Visualization:</b> Upload multiple notes to visualize the timeline of decisions.</br>
-3. <b>Interactive Text Annotator:</b> Manually annotate text for detailed analysis and model training.</p>
+<p style="font-size:1.2em;">1. <b>Decision Extraction & Classification:</b> Process individual notes and receive highlighted key clinical decisions.</br>
+2. <b>Patient Visualization:</b> Upload multiple notes to visualize the timeline of decisions.</br>
+3. <b>Interactive Narrative Annotator:</b> Manually annotate text for detailed analysis and model training.</p>
 """
 
 desc = '### Decision Categories\n'
@@ -217,4 +217,4 @@ body {
   --section-text-size: 16px;
   --input-background: --neutral-50;
   }
-"""
+"""